I am curious whether people get a better workout in the morning or at night. To find out, I got volunteers from my boxing gym. 10 of us wore heartrate monitors during our workouts and each of usworked out once in the morning and once in the evening and recorded the number of calories we burned during each workout. At a significance level of 0.01, I want to prove that less calories areburned during morning workouts than during evening workouts. The morning workout sample is and the evening workout sample is. Below is a table displaying the data:Evening Workout887 caloriesMember (Subject)Morning Workout11,449 calories21.005 calories912 calories31.153 calories1,168 calories4458 calories797 calories1,326 calories1,160 calories6.838 calories929 calories1,129 calories1.347 calories81,007 calories949 calories9.808 calories735 calories10853 calories1,007 caloriesThe R Output for the hypothesis test is below:One Sample t-testdata: workoutdifft= 0.17213, df=9, p-value = 0.5664alternative hypothesis: true mean is less than 099 percent confidence interval:-Inf 157.2675sample estimates:mean of y What is the value of a?a. 0.001Ob.0.10O. 0.01d. 0.05

We have to find the correct answer for the value of alpha....

Answered: What is the value of a? a. 0.001 b.…

Math

Statistics

What is the value of a? a. 0.001 b. 0.10 c. 0.01 d. 0.05

Glencoe Algebra 1, Student Edition, 9780079039897, 0079039898, 2018

18th Edition

ISBN:9780079039897

Author:Carter

Publisher:Carter

Chapter10: Statistics

Section10.3: Measures Of Spread

Problem 1GP

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Concept explainers

Correlation

Correlation defines a relationship between two independent variables. It tells the degree to which variables move in relation to each other. When two sets of data are related to each other, there is a correlation between them.

Linear Correlation

A correlation is used to determine the relationships between numerical and categorical variables. In other words, it is an indicator of how things are connected to one another. The correlation analysis is the study of how variables are related.

Regression Analysis

Regression analysis is a statistical method in which it estimates the relationship between a dependent variable and one or more independent variable. In simple terms dependent variable is called as outcome variable and independent variable is called as predictors. Regression analysis is one of the methods to find the trends in data. The independent variable used in Regression analysis is named Predictor variable. It offers data of an associated dependent variable regarding a particular outcome.

Question

I am curious whether people get a better workout in the morning or at night. To find out, I got volunteers from my boxing gym. 10 of us wore heartrate monitors during our workouts and each of us
worked out once in the morning and once in the evening and recorded the number of calories we burned during each workout. At a significance level of 0.01, I want to prove that less calories are
burned during morning workouts than during evening workouts. The morning workout sample is and the evening workout sample is. Below is a table displaying the data:
Evening Workout
887 calories
Member (Subject)
Morning Workout
1
1,449 calories
2
1.005 calories
912 calories
3
1.153 calories
1,168 calories
4
458 calories
797 calories
1,326 calories
1,160 calories
6.
838 calories
929 calories
1,129 calories
1.347 calories
8
1,007 calories
949 calories
9.
808 calories
735 calories
10
853 calories
1,007 calories
The R Output for the hypothesis test is below:
One Sample t-test
data: workoutdiff
t= 0.17213, df=9, p-value = 0.5664
alternative hypothesis: true mean is less than 0
99 percent confidence interval:
-Inf 157.2675
sample estimates:
mean of y

What is the value of a?
a. 0.001
Ob.0.10
O. 0.01
d. 0.05

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